// The assertion is removed from this block since the purpose of this block is to find races
	// The purpose this block is not to check for correctness of functionality
	// Run the test with -race flag to utilize this
	var wg sync.WaitGroup
	for i := 0; i < testConcurrencyLevel; i++ {
		wg.Add(1)
		go func() {
			defer wg.Done()
			// HTTP request to create the bucket.

//===----------------------------------------------------------------------===//
LogicalResult FakeQuantWithMinMaxArgsOp::verify() {
  FakeQuantWithMinMaxArgsOp op = *this;
  // TODO(fengliuai): moving the following to an utility method.
  const llvm::fltSemantics& semantics = op.getMin().getSemantics();
  float rmin, rmax;
  if (&semantics == &APFloat::IEEEsingle()) {
    rmin = op.getMin().convertToFloat();

	return
}

// Copied from https://github.com/envoyproxy/envoy/blob/5451efd9b8f8a444431197050e45ba974ed4e9d8/source/common/common/utility.cc#L601-L615
// to ensure we 100% match Envoy's implementation
func isPrime(x uint64) bool {
	if x != 0 && x < 4 {
		return true // eliminates special-casing 2.
	} else if (x & 1) == 0 {

                              UnrankedTensorType::get(x_type.getElementType()),
                              x, perm);

  // TODO(jpienaar): Handle unknown perm case.

  // TODO(jpienaar): Extract utility function.
  auto etype = x_type.cast<ShapedType>().getElementType();
  DenseIntElementsAttr attr_shape;
  if (matchPattern(perm, m_Constant(&attr_shape))) {
    llvm::SmallVector<int64_t, 4> const_shape;

#include <cstring>
#include <iterator>
#include <limits>
#include <map>
#include <memory>
#include <optional>
#include <set>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/base/attributes.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/status/status.h"

      RankedTensorType::get(
          {static_cast<int>(return_squeeze_shape.size())},
          mlir::IntegerType::get(value_tensor.getContext(), 32)),
      llvm::ArrayRef(return_squeeze_shape));
}

// This is a utility function to deduce the effective permutation to apply on
// TFL_TransposeOp when the tensor has some dimensions with value==1
// Example- "tfl.transpose"(tensor<56x8x56x1x1x1x7xf32>, [4, 5, 1, 2, 0, 6, 3])

import java.util.stream.Collector;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Static utility methods pertaining to {@link Map} instances (including instances of {@link
 * SortedMap}, {@link BiMap}, etc.). Also see this class's counterparts {@link Lists}, {@link Sets}
 * and {@link Queues}.
 *

import java.util.stream.Collector;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Static utility methods pertaining to {@link Map} instances (including instances of {@link
 * SortedMap}, {@link BiMap}, etc.). Also see this class's counterparts {@link Lists}, {@link Sets}
 * and {@link Queues}.
 *

#include <atomic>
#include <functional>
#include <iterator>
#include <memory>
#include <queue>
#include <string>
#include <tuple>
#include <type_traits>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/base/thread_annotations.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"

//     blocked or in a syscall w/o an associated P.
//
// Design doc at https://golang.org/s/go11sched.

// Worker thread parking/unparking.
// We need to balance between keeping enough running worker threads to utilize
// available hardware parallelism and parking excessive running worker threads
// to conserve CPU resources and power. This is not simple for two reasons:
// (1) scheduler state is intentionally distributed (in particular, per-P work